Standard Compute
Cost per coding-agent request

Is Gemini 3.1 Flash Lite or Qwen3 235B A22B cheaper for coding agents?

For coding agents, Qwen3 235B A22B costs 1.5x as much as Gemini 3.1 Flash Lite per request ($0.0096 vs $0.0065 on our measured traffic), because Qwen3 235B A22B lists at $0.09 input, $0.09 cached input and $0.55 output per million tokens against $0.25, $0.025 and $1.50 for Gemini 3.1 Flash Lite.

List prices: OpenRouter listed price, checked 2026-10-13. Request costs: Standard Compute gateway data, 79,301 coding-agent requests from 75 users, Sep 13 to Oct 12, 2026. How we compute this

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Cost per coding-agent request, side by side

Cost at list priceFlash LiteQwen3 235B
Prompt under 100K tokens50% of requests, 87% of input cached$0.0040$0.0055
Prompt of 100K to 272K39% of requests, 88% of input cached$0.0097$0.015
Prompt over 272K tokens11% of requests, 86% of input cachedn/an/a
Average request$0.0065$0.0096
100 requests$0.65$0.96
Median session16 requests; a session ends after 10 idle minutes$0.079$0.091
A month of regular usemedian of 20 users active on 5+ days$8.16$13.05

Each logged request priced at the listed rates above for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request. Both models are priced on the requests up to 262K tokens that fit in both context windows; band shares above describe all requests.

Benchmarks, speed and latency, side by side

Artificial AnalysisFlash LiteQwen3 235B
Intelligence Index10 evaluations, 0 to 1001612 (estimate)
Terminal-Bench 4.0agentic coding in a terminal0.5%n/a
Output speedmedian365 tokens/s48 tokens/s
Time to first answer tokenincludes thinking time5.0 s1.3 s

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: Gemini 3.1 Flash-Lite, speed on Google; Qwen3 235B A22B 2507 Instruct. Fetched October 13, 2026. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.

What to watch for

Qwen3 235B A22B's 262K window cannot take 12% of coding-agent requests, so the comparison uses only requests both can take. 87% of agent input is read from cache, and Qwen3 235B A22B charges $0.09 per million for it against $0.025. The price is OpenRouter's listed rate on October 13, 2026, which can be a third-party host's; Google's own API may charge differently.

FAQ

Is Gemini 3.1 Flash Lite cheaper than Qwen3 235B A22B for coding agents?
Yes, at the listed prices. 100 average coding-agent requests cost $0.65 on Gemini 3.1 Flash Lite and $0.96 on Qwen3 235B A22B. A median 16-request session costs $0.079 vs $0.091. Measured on 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026), counting only the requests up to 262K tokens that both can take.
How much does a month of Qwen3 235B vs Flash Lite cost?
For the median regular user in our data (1,478 requests in 30 days), about $13.05 on Qwen3 235B A22B and $8.16 on Gemini 3.1 Flash Lite at list price. Heavier users pay proportionally more.
Gemini 3.1 Flash Lite vs Qwen3 235B A22B: which is better for agents?
Gemini 3.1 Flash Lite scores higher on output quality (4.3/10 vs 3.8/10), while Qwen3 235B A22B is the cheaper option. Gemini 3.1 Flash Lite is best for simple, high-volume steps such as classification and extraction; Qwen3 235B A22B is best for self-hosted setups that need a mid-size open-weight model. Live community votes on this page show what people actually prefer.
Can I switch between Gemini 3.1 Flash Lite and Qwen3 235B A22B in the same agent?
Yes. Model-agnostic agents (Cline, Aider, OpenClaw, Hermes Agent, Kilo Code, OpenCode) let you swap models per task. Many people route hard tasks to the stronger model and routine work to the cheaper one.

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality

Correctness and depth of what it produces

Agentic Ability

Tool calls, instruction-following, and multi-step tasks

Speed

Tokens per second and time-to-first-token

Value for Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Related comparisons

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